Artificial Intelligence in Industry with Dan Faggella (computer vision)
Future Applications of Machine Vision - an Interview with Cortica's CEO

Right now, you can take a picture of a flower in your garden and post it on social media to see if anyone knows its proper name. Wouldn’t it be nice, though, if a machine could identify the correct name and species in the picture you just took? Solving this problem in applications of machine vision is something that CEO Igal Raichelgauz and his team are working on at Cortica, a machine learning company that is not focused on deep learning, but is instead taking a more "shallow" approach. In this episode, Raichelgauz articulates Cortica's approach, which is based on neurology and goes against some of the current approaches in getting machines to learn. We discuss some of these primary differences and dive into Cortica's goals for applying machine vision in consumer products.

Direct download: TEP-Igal_Raichelgauz-Mixdown.mp3
Category:computer vision -- posted at: 5:00pm PST

A Close Up of Computer Vision with Shutterstock

We’ve spoken in the past about computer vision on the TechEmergence show, but we haven’t covered much about it in industry apps. Few businesses have better mastered this technology in the form of an app better than Shutterstock. In today’s episode, we speak with Nathan Hurst, currently a distinguished engineer with Shutterstock and previously with Google, Amazon, and Adobe. Nathan delves into the topic of business apps that can “see”, and touches on what that means for the industry, some of the exciting developments that he’s seen over last the 10 years, and what he sees coming up in the next few years.

Direct download: Nathan_Hurst.mp3
Category:computer vision -- posted at: 7:00pm PST

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